Manufacturing Policy Analysis Server for Cross-Layer Data
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Solution Overview
Problem
In the manufacturing industry, cross-hierarchical analysis of data across different layers of the Five Layer Process Manufacturing Pyramid is difficult, leading to independent data management and limited reflection of management policies within hierarchical layers, which hinders effective implementation of enterprise strategies.
Innovation Solution
An information providing apparatus and method that collects on-site data from various hierarchical layers, analyzes management policies, and generates and notifies on-site policies to each layer, enabling cross-hierarchical policy reflection and autonomous analysis using machine learning and artificial intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data are accumulated and managed independently in units of hierarchical layers, then data management within each layer is simplified, but cross-hierarchical analysis becomes difficult and management policies cannot be reflected across layers
Solution Approach 1:
The system segments data management by hierarchical layers while introducing a central analysis server that coordinates across segments. Each layer maintains its data independently (L1-L5 with distinct data types), but the analysis server performs cross-hierarchical analysis by integrating data from multiple layers, thus preserving both local simplicity and global analytical capability.
Solution Approach 2:
The analysis server acts as an intermediary between independent hierarchical layers. It receives data from multiple layers (L1-L5), performs cross-hierarchical analysis, and generates analysis results that are returned to appropriate layers. This mediator enables policy reflection across layers without requiring direct integration between all layers.
2Adaptability or versatility
If cross-hierarchical analysis is implemented across all layers, then management policy reflection is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system merges data collection functions across hierarchical layers into a single analysis server that handles cross-hierarchical analysis. Instead of implementing analysis capabilities in each layer, the analysis server consolidates this function, receiving data from L1-L5 and performing unified analysis to generate policy reflection results.
Solution Approach 2:
The analysis server performs analysis on specific combinations of hierarchical layers based on management needs rather than analyzing all possible layer combinations. The system selectively processes data from relevant layers (e.g., L3 and L4 for facility management policies) rather than exhaustively analyzing all cross-hierarchical relationships, reducing unnecessary computational complexity.
Data Source
AI summary
A server device receives a management policy indicating a course of action of overall management of an organization to be managed, from a person in charge of the organization, analyzes the management policy received and on-site data collected from each hierarchical layer of the organization to be managed, generates an on-site policy indicating a course of action of management of each hierarchical layer of the organization to be managed, and notifies each on-site person in charge in each hierarchical layer in the organization to be managed, of the on-site policy generated.